Productivity Intelligence
Computer by DevRev
Employee Productivity Comprehensive view across Engineering, Sales, Support, DevOps, HR & Marketing - tracking 743 employees, 6 departments, 12 teams, 4 offices.
89.2%
Org Productivity Score
Powered by Computer's Intelligence Layer
Four pillars connect your systems into a unified productivity intelligence engine - syncing data, building memory, enforcing permissions, and taking actions.
AirSync
Bi-directional sync with 100+ systems. Real-time data ingestion without ETL.
Jira
Salesforce
GitHub
Slack
BambooHR
Snowflake
Memory
Knowledge Graph that remembers relationships, context, and history across all data.
People
Teams
Projects
Metrics
Patterns
History
Actions
AI-powered skills that execute tasks, generate reports, and automate workflows.
Dashboards
Alerts
Reports
Nudges
Workflows
Forecasts
Permissions
Enterprise-grade access control. Data respects org hierarchy and role boundaries.
RBAC
SSO/SAML
Audit Logs
Data Scoping
SOC 2
Encryption
Output:
Productivity Scores
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Burnout Alerts
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Team Dashboards
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Predictive Insights
Organizational Health at a Glance
Period: May 1 - Jun 28, 2026 | vs previous period (Mar 1 - Apr 30, 2026)
Engineering 91.4%
Sprint Completion
+3.2%
Sales $4.2M
Pipeline Velocity / Month
+18.7%
Support 2.4 hrs
Median Resolution
-31%
DevOps 99.97%
Platform Uptime
+0.02%
Focus Time (hrs/week avg) AI Adoption (Computer) 73%
Weekly Active Users
+22% vs Q1
Top: Search (34%), Meeting prep (21%), Code assist (18%), Reports (14%), Email (13%)
Engineering Productivity
312 engineers | 8 squads | 2-week sprints | Current: Sprint 27
18.2 hrs
Avg PR Cycle Time
-22%
4.1 hrs
Time to First Review
-15%
91.4%
Sprint Completion
+3.2%
Squad Velocity (Issues/Sprint) 47 Platform
43 Cloud
51 AI/ML
36 Mobile
40 Infra
32 Security
45 Data
38 Frontend
PR Size Distribution 77% under 200 lines - healthy review culture
Top Engineers - Sprint 27 Engineer Squad Issues PRs Cycle (hrs) Reviews Score Arjun Krishnamurthy AI/ML 14 18 12.4 22 96 Priya Venkatesh Platform 12 15 14.8 19 94 Rahul Mehra Cloud 11 16 16.2 14 91 Sneha Patel Data 13 12 18.1 17 90 Vikram Rao Infra 10 14 15.6 21 89 Deepa Sharma Frontend 9 11 20.3 12 82 Karthik Nair Security 7 9 24.5 8 76 Ananya Gupta Mobile 6 8 28.1 6 68
Sales Productivity & Deal Velocity
87 reps | Enterprise, Mid-Market, SMB segments
$12.6M
Pipeline Created
+24%
34 days
Avg Deal Cycle
-8 days
Deal Velocity by Stage (Avg Days) Bottleneck: Proposal stage = 24% of cycle. Recommendation: AI proposal generation skill.
Rep Activity (Weekly Avg)
Leaderboard - June 2026 Rep Segment Deals Revenue Avg Size Cycle Win Rate Score Meera Iyer Ent 4 $892K $223K 28d 38% 97 Siddharth Joshi MM 8 $624K $78K 22d 42% 95 Kavitha Raman Ent 3 $567K $189K 35d 33% 91 Nikhil Deshmukh MM 7 $441K $63K 19d 44% 89 Roshni Kapoor SMB 18 $378K $21K 12d 51% 88 Amit Kulkarni Ent 2 $345K $172K 42d 25% 74
Ticket Resolution & Agent Efficiency
124 agents | L1, L2, L3 tiers | 24/7 coverage
8,412
Tickets Resolved
+11%
2.4 hrs
Median Resolution
-31%
Resolution by Severity
AI Deflection Rate 42.3%
3,562 tickets auto-resolved without human intervention
Volume by Channel
Agent Utilization
Top Agents Agent Tier Resolved Avg Resolution CSAT SLA FCR Divya Subramaniam L2 187 1.8 hrs 4.9 99.2% 78% Rajesh Kumar L1 312 1.2 hrs 4.8 98.7% 82% Fatima Sheikh L2 164 2.1 hrs 4.7 97.8% 71% Suresh Reddy L3 89 4.2 hrs 4.8 96.5% 64%
Platform Reliability & Deployment Velocity
48 SREs | 892 microservices | AWS + Azure multi-cloud
99.97%
Uptime (60-day)
+0.02%
12 min
Avg Deploy Time
-4 min
DORA Metrics Metric Current Target Status Deploy Frequency 14.2/day 10/day Exceeding Lead Time 2.4 hrs < 4 hrs On Track Change Failure 1.8% < 5% Exceeding MTTR 18 min < 30 min On Track
Incident Response (60 Days) Severity Count MTTR Root Cause P0 3 18 min DB failover, DNS, Mem leak P1 12 42 min Config (5), Scale (4), Net (3) P2 47 2.1 hrs Non-customer-impacting
On-Call Performance Engineer Shift Pages Ack Time Escalations Runbook Aditya Hegde Jun 1-7 14 2.1 min 1 100% Pooja Menon Jun 8-14 8 1.8 min 0 100% Varun Srinivasan Jun 15-21 22 3.4 min 3 86% Lakshmi Narayanan Jun 22-28 11 2.0 min 1 95%
Slack, Email, Meetings & Computer
Cross-functional communication patterns | 743 employees
Slack Activity 48,247
Messages (60 days)
+8%
Msgs/person/day 12.4
Threads started 6,842
Reactions 31,209
Files shared 2,847
Peak hour 10-11 AM IST
Email Engagement 12,841
Emails Sent
+2%
Emails/person/day 4.2
External % 67%
Avg response time 2.8 hrs
Read rate 84%
Unread > 48hrs 312
Computer Conversations 8,942
Queries (60 days)
+47%
Unique users 542 (73%)
Queries/user/day 3.8
Satisfaction 91%
Time saved/query 8.2 min
Total hrs saved 1,221
Meeting Load (hrs/person/week) Alert: Sales at 62% meeting time. Burnout risk.
Computer Adoption by Dept Opportunity: HR & Marketing need Computer workshops.
Activity Heatmap (Mon-Fri, IST) Slack + Email + Computer combined density
12a 2 4 6 8 10 12p 2 4 6 8 10
Actionable Recommendations
Computer analyzed 60 days of cross-functional data to surface these insights
Burnout Risk Alerts Sales Team - Meeting Overload 24.8 hrs/week in meetings = only 15.2 hrs focus. 12 reps work past 7 PM. Rec: No-meeting Fridays + async standups.
Varun Srinivasan (DevOps) - High Pages 22 pages in on-call week (2.5x avg). 3 escalations. Rec: Pair with Pooja Menon for DB runbook shadowing.
Ananya Gupta (Mobile) - Declining 28.1 hr PR cycle (team avg: 18.2). 6 issues vs squad avg 9.2. Rec: 1:1 to identify blockers.
Efficiency Wins AI Deflection Saves $284K/Quarter 42.3% deflection = 3,562 tickets auto-resolved. At $80/ticket = $284,960 savings. Up from 28% last Q.
Computer Saves 1,221 Hours 542 users x 8.2 min/query x 3.8 queries/day = 1,221 productive hours recovered this period.
AI/ML Squad - Top Velocity 51 issues/sprint, 12.4 hr cycle for top performer. 77% PRs under 200 lines - strong review discipline.
Strategic Recommendations 1. Computer workshops for HR (45%) & Marketing (62%) - unlock 400+ hrs/month
2. AI proposal skill for Sales - cut proposal stage from 8.3 to ~5 days
3. Auto sprint retro skill - save 120 hrs/quarter of manual prep
4. On-call knowledge agent - auto-surface runbooks during incidents
5. Automated weekly digests per manager - replace 3 report meetings/week
ROI Summary AI ticket deflection $284K/qtr
Computer time savings $146K/qtr
Faster deal cycles (-8d) $520K accel.
Reduced MTTR (18 min) $92K saved
Total Quarterly Impact $1.04M
x Computer Employee Productivity Intelligence | Powered by Computer, by DevRev
Data period: May 1 - Jun 28, 2026 | Report generated: Jun 29, 2026
